plot.IDEMIMP: Plot imputation results

In idem: Inference in Randomized Controlled Trials with Death and Missingness

Plot imputation results

Description

Generate different types of plots for class IDEMIMP objects generated by imImpAll

Usage

## S3 method for class 'IDEMIMP'
plot(x, opt = c("imputed", "composite"), fname = NULL, ...)

Arguments

x	A class IDEMIMP object returned from imImpAll
opt	Types of the plot imputed: Plot density of imputed values and the density of the observed outcomes composite: Generate cumulative plot of the composite survival and functional outcome
fname	File name of the result pdf file. If fname is null, result pdf file will not be generated
...	Options for generating the plots. type = imputed deltas: Imputation sensitivity parameter for which to generate the results endp: If TRUE, plot the densities of the imputed functional outcomes. Otherwise, plot the densities of the imputed outcomes adjdensity estimation option colsplot option for colors ltysplot options for line types xlimplot options ylimplot options mfrowplot options type = composite at.surv: Sets the range of the survival times to plot in the cumulative distribution function. By default the range is the range of survival values up to the duration of the study at.z: Sets the range of the functional outcome to plot in the cumulative distribution function. By defualt this is the range of the functional outcomes plus the buffer amount to improve visibility in the transition from survival to functional outcome p.death: Proportion of the plot width devoted to Survival. By default the cumulative distribution will devote horizontal space to the survival portion that is proportional to the number of subjects who die prior to duration buffer: Small horizontal gap used to better visually distinguish the transition from survival to functional outcome delta: Imputation sensitivity parameter for which to generate the results seg.lab: Labels for the two components of the composite outcome main: plot options

See Also

imImpAll

Examples

## Not run: 
im.abc <- imData(abc, trt="TRT", surv="SURV", outcome=c("Y1","Y2"),
                 y0=NULL, endfml="Y2",
                 trt.label = c("UC+SBT", "SAT+SBT"),
                 cov=c("AGE"), duration=365, bounds=c(0,100));
rst.fit  <- imFitModel(im.abc);
rst.imp <- imImpAll(rst.fit, deltas=c(-0.25,0,0.25),
                    normal=TRUE, chains = 2, iter = 2000, warmup = 1000);
plot(rst.imp, opt = "imputed"),
plot(rst.imp, opt = "composite")
## End(Not run)

idem documentation built on Aug. 9, 2023, 5:08 p.m.